class_docstr: Searches for structured entities, e.g. dates, using a duckling server.
docstr: Creates the extractor.
  
  Args:
      config: The extractor's config.
docstr_tok: ["Creates","the","extractor",".","Args",":","config",":","The","extractor","'s","config","."]
code: def __init__(self, config: Dict[Text, Any]) -> None:
      """Creates the extractor.
  
      Args:
          config: The extractor's config.
      """
      self.component_config = config
  
imports: from __future__ import annotations
  import time
  import json
  import logging
  import os
  import requests
  from typing import Any, List, Optional, Text, Dict
  import rasa.utils.endpoints
  from rasa.engine.graph import GraphComponent, ExecutionContext
  from rasa.engine.recipes.default_recipe import DefaultV1Recipe
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.shared.constants import DOCS_URL_COMPONENTS
  from rasa.shared.nlu.constants import ENTITIES, TEXT
  from rasa.nlu.extractors.extractor import EntityExtractorMixin
  from rasa.shared.nlu.training_data.message import Message
  import rasa.shared.utils.io
label_desc: Use image node_id 2 to create a new DucklingEntityExtractor object from inherited base classes: GraphComponent, EntityExtractorMixin with example: obj = DucklingEntityExtractor(config)